Latest Hybrid images optical illusion may send you looking for an optician

What if it becomes hard to tell apart images of well-known celebrities like Albert Einstein from Hollywood actress Marilyn Monroe? Well, you may think about getting eyeglasses. The latest optical illusion tests your vision at various distances and you may end up understanding how good or bad your vision is depending on what you can see on the hybrid image at a normal distance. The creators of the latest trending optical illusion combined images of Einstein and Monroe in manner that requires somewhat proper vision to tell who is who.

Optical illusions are a great way for people to gauge their perception of images and also gain understanding how the brain processes images. There have been a number of optical illusions in the recent times and some have gone viral if you can remember The Dress, which also sparked global debate about its exact color.

Hybrid image goes viral on YouTube

The latest optical illusion was created by a team led by Dr. Aude Oliva at the Massachusetts Institute of Technology. The hybrid image was uploaded on YouTube by Asap Science and went viral just a few hours later. Asap Science is a collaboration between Gregory Brown and Canadians Mitchell Moffit.

The research team led by Dr. Oliva has created a number of illusions, some of which include transforming a cheetah into a tiger, man into a woman, dolphin into a car and bicycle into a motorcycle. Then, there was one hybrid image that turned out to be the most bizarre, combining the image of former British Prime Ministers Tony Blair and Margret Thatcher.

Application of illusions

Beyond the fascination, optical illusions have a real world application. They help people to gain insight into how good or bad their perception of the environment is, and they can think about seeking remedy to their vision problem. People also get to understand how their brain processes images as they move closer or to the image or farther from it. Optical illusions can also be used by computer scientists to improve machine learning.